The present disclosure describes the clinical workflow, method, apparatus and system of an on demand artificial intelligence visual screening and visual field screening system that incorporates a display simulator cockpit frame system inside a booth, kiosk, or exam room with machine learning and telemedicine capabilities. According to various embodiments, an artificial intelligent, physical or virtual assistant may help in the screening process of the patient, and an eye doctor via telemedicine may connect to the computers in display simulator cockpit system to perform necessary medical consultations, visual examination or screenings via the display simulator cockpit frame set-up display system. Where an on demand health care provider via remote administration tool technology, remote screen sharing and remote control software control the medical equipment, provide medical consultations and medical examination to a patient from anywhere in the world via cellphone wireless networks or wifi to interconnect both systems.

Certain aspects of the disclosure are directed to an apparatus including a scale and risk-assessment circuitry which is configured to assess a condition likely linked to the user. The scale includes a platform, and data-procurement circuitry for collecting signals specific to the user and cardio-physiological measurements. The scale includes processing circuitry to process data obtained by the data-procurement circuitry, therefrom generates cardio-related physiologic data, and sends an alert of the condition. The risk-assessment circuitry identifies a risk that the user has a condition based on the reference information and the user data provided by the scale and outputs generic information correlating to the condition to the scale that is tailored based on the identified risk.

A method and system for monitoring oxygen saturation of a patient are provided. An example system includes a wearable device having a first optical sensor to measure a first red wavelength photoplethysmography (PPG) signal and a first infrared wavelength PPG signal and a second optical sensor to measure a second red wavelength PPG signal and a second infrared wavelength PPG signal. The system further includes a processor configured to determine that conditions for calibration of the first optical sensor are satisfied, determine a first ratio for obtaining the oxygen saturation, a first parameter for modifying the first red wavelength PPG signal, a second parameter for modifying the first infrared wavelength PPG signal, and a second ratio for obtaining the oxygen saturation. The processor is further configured to determine a value of the oxygen saturation and provide a message regarding a health status of the patient.

The present invention relates to a method of continuously monitoring the biometrics of a user in order to determine and gather more accurate data on their mental state. More particularly, the present invention relates to a method of dynamically prompting the user in response to the monitoring of the user and the determination of the user's mental state. Aspects and/or embodiments seek to provide a method of substantially continuous monitoring of a user's mental state, and prompting of users based on their monitored mental state.

A system for predicting an adverse reaction of a patient, based on a real-time bio-signal of the patient, according to an embodiment of the disclosure, may include: a bio-signal measurement device configured to measure a bio-signal of the patient at a first time interval and transmit a measured result to a patient terminal at the first time interval; the patient terminal configured to collect the bio-signal measured at the first time interval from the bio-signal measurement device and transmit the collected bio-signal to a server at a second time interval; the server configured to receive the bio-signal from the patient terminal at the second time interval, based on the received bio-signal, identify whether a predetermined action is necessary for the patient at the second time interval, and when the predetermined action is necessary, transmit a message to a medical team terminal; and the medical team terminal configured to receive the message from the server when the predetermined action is necessary.

A system and method for performing range of motion measurements in an unsupervised manner. A user equipment with one or more cameras may be used with an application on the UE using the one or more cameras to measure range of motion of a user of the UE. The patient may record movement of the part of the body of interest, such as the head. The movement may be recorded in three dimensions (e.g., calculated from two dimensional coordinates of an image) and processed by the application, and the three rotational angles calculated corresponding to the difference between the final position of the head and the initial position of the head at the beginning of the recording. As a result, facial recognition is used to improve monitoring of range of motion during surgical recovery in an unsupervised environment.

Disclosed is a system and method for performing measurements on a biological subject, and in one particular example, to performing measurements of analytes in a biological subject by breaching a functional barrier of the subject using microstructures, wherein the one or more microstructures include molecularly imprinted polymer for binding one or more analytes.

Remote health services may be provided, for example, in real time, based on values of health metrics monitored remotely, and in some embodiments, continuously, for a recipient. The system may include a mobile health device configured to continually monitor or intermittently detect values of one or more health metrics. A mobile health device may be locally coupled to a recipient, and may include a health sensor that detects values of one or more health metrics of the recipient. Servers may be remotely coupled to the mobile health device and provide one or more health services based at least in part on health metric values detected by the health device. Providing the services may include determining health communication characteristics, and sending health communications from one or more servers to the mobile health device according to determined health communication characteristics.

This disclosure presents systems and methods to provide telehealth and medical IoT communication. Exemplary implementations may: obtain health information characterizing physiological state of a user; obtain activity information characterizing physical activity of the user; identify potential occurrences of one or more medical-related events based on the health information and the activity information; in response to identifying the potential occurrences of the one or more medical-related events, generate and deliver one or more notifications to one or more computing platforms; and/or perform other features and/or functionality.

A smart face mask comprising a mask body; a temperature sensor; a respiration sensor; and a transmitter for transmitting information from the temperature sensor, the respiration sensor and a geotracker to a smart phone or smart watch.